zoho_recruit
AI Engineer
Wynisco
Pune, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 3 weeks ago
PythonTensorFlowPyTorchScikit-learnAWSGCP
Free
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Role Overview
We are seeking a highly motivated AI Engineer to design, build, and deploy advanced artificial intelligence solutions. The ideal candidate has strong foundations in machine learning, deep learning, natural language processing, and software engineering. You will collaborate with cross-functional teams (data scientists, product managers, and engineers) to build AI systems that drive real-world business impact.
Key Skills for This Role
PythonTensorFlowPyTorchScikit-learnAWSGCP
Full Job Posting
About the Role
We are seeking a highly motivated AI Engineer to design, build, and deploy advanced artificial intelligence solutions. The ideal candidate has strong foundations in machine learning, deep learning, natural language processing, and software engineering. You will collaborate with cross-functional teams (data scientists, product managers, and engineers) to build AI systems that drive real-world business impact.
Key Responsibilities
- Model Development & Deployment Design, train, and optimize machine learning and deep learning models for production use. Deploy AI models into scalable systems using frameworks like TensorFlow, PyTorch, or Hugging Face.
- Design, train, and optimize machine learning and deep learning models for production use.
- Deploy AI models into scalable systems using frameworks like TensorFlow, PyTorch, or Hugging Face.
- Data Engineering & Pipelines Work with large structured and unstructured datasets. Build data preprocessing, feature engineering, and ETL pipelines.
- Work with large structured and unstructured datasets.
- Build data preprocessing, feature engineering, and ETL pipelines.
- AI System Integration Collaborate with backend teams to integrate AI models into applications and APIs. Ensure models are efficient, robust, and optimized for real-time or batch inference.
- Collaborate with backend teams to integrate AI models into applications and APIs.
- Ensure models are efficient, robust, and optimized for real-time or batch inference.
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